Keyword: statistics: regression

Found 1079 papers in total
Statistical inference on restricted partial linear regression models with partial distortion measurement errors
Statistical inference on restricted partial linear regression models with partial distortion measurement errors
2016,
We consider the estimation and hypothesis testing problems for the partial linear...
Markov switching quantile autoregression
Markov switching quantile autoregression
2016,
This paper considers the location‐scale quantile autoregression in which the...
Asymptotics and smoothing parameter selection for penalized spline regression with various loss functions
Asymptotics and smoothing parameter selection for penalized spline regression with various loss functions
2016,
Penalized splines are used in various types of regression analyses, including...
Spatial clustering of time series via mixture of autoregressions models and Markov random fields
Spatial clustering of time series via mixture of autoregressions models and Markov random fields
2016,
Time series data arise in many medical and biological imaging scenarios. In such...
Modeling Multicountry Longevity Risk With Mortality Dependence: A Lévy Subordinated Hierarchical Archimedean Copulas Approach
Modeling Multicountry Longevity Risk With Mortality Dependence: A Lévy Subordinated Hierarchical Archimedean Copulas Approach
2017,
This article proposes a new copula model known as the Lévy subordinated...
Nonparametric Tree-Based Predictive Modeling of Storm Outages on an Electric Distribution Network
Nonparametric Tree-Based Predictive Modeling of Storm Outages on an Electric Distribution Network
2017,
This article compares two nonparametric tree‐based models, quantile regression...
Application of Support Vector Machine, Random Forest, and Genetic Algorithm Optimized Random Forest Models in Groundwater Potential Mapping
Application of Support Vector Machine, Random Forest, and Genetic Algorithm Optimized Random Forest Models in Groundwater Potential Mapping
2017,
Regarding the ever increasing issue of water scarcity in different countries, the...
Forecasting with Specification-Switching VARs
Forecasting with Specification-Switching VARs
2017,
The specification choices of vector autoregressions (VARs) in forecasting are often...
Time-Varying Parameter Realized Volatility Models
Time-Varying Parameter Realized Volatility Models
2017,
In this paper, we introduce the functional coefficient to heterogeneous autoregressive...
Measuring logistics performance of OECD countries via fuzzy linear regression
Measuring logistics performance of OECD countries via fuzzy linear regression
2017,
In logistics, performance measurement has been considered as a key competency to...
Do Unions Affect Innovation?
Do Unions Affect Innovation?
2017,
We examine the effect of unionization on firm innovation, using a regression...
Risk-adjusted Monitoring of Healthcare Quality: Model Selection and Change-point Estimation
Risk-adjusted Monitoring of Healthcare Quality: Model Selection and Change-point Estimation
2017,
Risk adjustment, which is used when healthcare outcomes are monitored, involves taking...
Stochastic subgradient descent method for large-scale robust chance-constrained support vector machines
Stochastic subgradient descent method for large-scale robust chance-constrained support vector machines
2017,
Robust chance‐constrained Support Vector Machines (SVM) with...
Dynamic portfolio choice: a simulation-and-regression approach
Dynamic portfolio choice: a simulation-and-regression approach
2017,
Simulation‐and‐regression algorithms have become a standard tool for...
Nonparametric least squares methods for stochastic frontier models
Nonparametric least squares methods for stochastic frontier models
2017,
When analyzing productivity and efficiency of firms, stochastic frontier models are...
Electroencephalography-based feature extraction using complex network for automated epileptic seizure detection
Electroencephalography-based feature extraction using complex network for automated epileptic seizure detection
2017,
Electroencephalography signals are typically used for analyzing epileptic seizures....
Determination of the appropriate parameters for K-means clustering using selection of region clusters based on density DBSCAN (SRCD-DBSCAN)
Determination of the appropriate parameters for K-means clustering using selection of region clusters based on density DBSCAN (SRCD-DBSCAN)
2017,
K‐means clustering can be highly accurate when the number of clusters and the...
Decision-tree-based methods for differential diagnosis of ß-thalassemia trait from iron deficiency anemia
Decision-tree-based methods for differential diagnosis of ß-thalassemia trait from iron deficiency anemia
2017,
Several discrimination indices have been proposed to distinct between...
Collaboration Process Pattern Approach to Improving Teamwork Performance: A Data Mining-Based Methodology
Collaboration Process Pattern Approach to Improving Teamwork Performance: A Data Mining-Based Methodology
2017,
It is well documented in management literature that characteristics of collaboration...
On generalised estimating equations for vector regression
On generalised estimating equations for vector regression
2017,
Generalised estimating equations (GEE) for regression problems with...
The Swiss payment for milk processed into cheese: ex post and ex ante analysis
The Swiss payment for milk processed into cheese: ex post and ex ante analysis
2017,
We make use of both an ex post and an ex ante evaluation to analyze the Swiss payment...
Active Learning with Multiple Localized Regression Models
Active Learning with Multiple Localized Regression Models
2017,
Oftentimes businesses face the challenge of requiring costly information to improve...
Using electronic health records and nursing assessment to redesign clinical early recognition systems
Using electronic health records and nursing assessment to redesign clinical early recognition systems
2017,
As health‐care organizations transition from paper to electronic documentation...
Embedded variable selection method using signomial classification
Embedded variable selection method using signomial classification
2017,
We propose two variable selection methods using signomial classification. We attempt...
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